OBSERVED IN REAL USE · Anthropic 2026
0%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Lightly singed at worst. Carry on.
33% of this role’s O*NET tasks are within reach of today’s AI. That is the core-weighted exposure score from Eloundou et al. 2023 (“GPTs are GPTs”). It measures a capability ceiling, not a headcount forecast. Mostly safe. AI helps around the edges, but the job stays human.
WHAT AI CAN ALREADY DO
- Operate and calibrate computer systems and devices to comply with test requirements and to perform data acquisition and analysis
- Identify required data, data acquisition plans, and test parameters, setting up equipment to conform to these specifications
- Confer with engineering personnel regarding details and implications of test procedures and results
- Record and interpret test data on parts, assemblies, and mechanisms
- Inspect, diagnose, maintain, and operate test setups and equipment to detect malfunctions
WHAT IT STILL CAN’T
- Test aircraft systems under simulated operational conditions, performing systems readiness tests and pre- and post-operational checkouts, to establish design or fabrication parameters
- Adjust, repair, or replace faulty components of test setups and equipment
- Fabricate and install parts and systems to be tested in test equipment, using hand tools, power tools, and test instruments
- Finish vehicle instrumentation and deinstrumentation
- Construct and maintain test facilities for aircraft parts and systems, according to specifications
THE HONEST PART. A percentage is not a pink slip. High exposure usually means a role shrinks and shifts toward judgment, direction and responsibility: the parts a model can’t sign its name to. Exposure ≠ displacement. Breathe.
"My job is 33% cooked. What’s yours?"
SOURCES: O*NET 30.3 occupational tasks · Eloundou et al. 2023 (“GPTs are GPTs”,
arXiv:2303.10130) · Anthropic Economic Index 2026 (CC-BY) |
how this is calculated |
last updated 2026-07-16